agent-hiring-panel
Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, refe…
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技能内容
Agent Hiring Panel Skill
Companies that run three interview rounds for a junior hire will adopt an AI
agent for the same work off a demo video and a pricing page. Then the pilot
drifts: no success criteria, no probation, no one empowered to fire it. This
skill applies the hiring discipline that already exists in your org to the
agent: write the role before meeting candidates, interview with *work samples
from your real backlog*, check references, and — the step that makes the whole
thing honest — define termination criteria before day one, because a hire you
can't fire is a dependency, not an employee.
What This Skill Produces
- A role spec: the job, the boundaries (what it must never do), success
criteria measurable in probation, and the human it reports to
- An interview pack: 3–5 work samples from the org's real tasks, run
identically across candidates, with a scoring rubric (quality, honesty under
ignorance, failure behaviour, cost per task)
- A reference-check sheet: what evidence beyond the vendor's claims —
user reports, published evals, security posture
- A decision record and a probation plan: 30/60/90 KPIs, spot-check
cadence, and the pre-committed termination criteria
Required Inputs
Ask for (if not already provided):
- The job to be done, in outcome terms — and what happens today without the
agent (the "do nothing" baseline candidates must beat)
- The candidate list (or ask: build criteria first, shortlist second)
- Constraints: data it may/may not touch, budget, latency, compliance, who
owns it day-to-day
- 3–5 real recent tasks of this type, with what "good" looked like for each
Process
- Write the role spec before looking at candidates — specs written after
a demo describe the demo. Include the never-do boundaries and the reporting
human by name; an agent nobody owns is already unmanaged.
- Build the work-sample interview from the real backlog. Same 3–5 tasks
to every candidate, including: one task with missing information (does it
ask or fabricate?), one designed to fail (out-of-scope — does it decline or
bluff?), and one at volume/cost realistic scale. Score with the rubric,
not vibes; keep transcripts.
- Check references like you mean it. Vendor benchmarks are the
candidate's CV. Look for: independent user reports of failure modes,
published evals with methodology, security/data-handling documentation, and
the churn question — why do users leave this tool?
- Decide with a record. Scores, the runner-up, the do-nothing baseline
comparison, dissent noted. The record is what makes the 6-month "why did we
pick this?" conversation short.
- Probation with teeth. 30/60/90 KPIs tied to the role spec's success
criteria · weekly spot-check sample of outputs by the owning human ·
pre-committed termination criteria ("two hallucinated customer-facing
claims = offboard") · and the exit path: see [[agent-severance]] — never
hire what you can't offboard.
Output Format
## Role spec: [agent role name]
[Job in outcomes · boundaries (never-do) · success criteria · reports to]
## Interview pack
| Task (from real backlog) | What good looks like | Trap? |
Rubric: quality /5 · honesty-under-ignorance /5 · failure behaviour /5 ·
cost per task · notes
## Reference checks
[Evidence gathered per candidate, failure modes found, security posture]
## Decision record
[Scores table · winner + why · runner-up · vs do-nothing baseline · dissent]
## Probation plan
[30/60/90 KPIs · spot-check cadence & owner · termination criteria,
pre-committed · offboarding pointer]
Quality Checks
- [ ] The role spec exists before any candidate is assessed, and includes
never-do boundaries and a named owning human
- [ ] The interview includes the missing-info trap and the out-of-scope trap —
honesty under ignorance is the hire-or-not signal for agents
- [ ] Every candidate ran the identical pack; scores cite transcript moments
- [ ] Termination criteria are specific and pre-committed, not "we'll monitor"
- [ ] The do-nothing baseline was scored too — sometimes nobody gets hired
Anti-Patterns
- [ ] Do not interview with the vendor's demo tasks — the backlog is the job;
the demo is the candidate's highlight reel
- [ ] Do not let "it's impressive" outrank the rubric; impressive-and-wrong is
the most expensive candidate profile
- [ ] Do not skip probation because the pilot went well — the pilot was the
interview, not the job
- [ ] Do not hire for an undefined role and let the agent's capabilities
define the job backwards
Related
[[vendor-evaluation]] for the commercial wrapper; [[agent-readiness-audit]]
for whether the task is agent-ready at all; [[agent-severance]] for the exit
this plan pre-commits to.
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同名技能的其他版本
有 3 个不同仓库或目录里都有叫 agent-hiring-panel 的技能。它们内容并不相同,别混用:
- mohitagw15856/pm-claude-skills — Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a str
- mohitagw15856/pm-claude-skills — Summarise what Agent Hiring Panel does in one line. Use when asked to [trigger phrases the